Datasets:
id stringlengths 12 12 | messages listlengths 3 3 | target_layer stringclasses 14
values | slice_type stringclasses 6
values | sst int64 1 5 | sd stringclasses 4
values | use_case stringclasses 144
values | sector stringclasses 18
values | region stringclasses 54
values | latency_ms float64 0.1 1k | reliability_pct float64 90 100 | dl_throughput_mbps float64 0.5 2k | ul_throughput_mbps float64 0.1 1k | max_ues int64 10 1M | lifecycle_operation stringclasses 9
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
61d045f3558d | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | eMBB | 1 | 000002 | worker safety tracking | mining | Open Pit Zone | 100 | 99 | 500 | 25 | 1,000 | create |
d9c12c8f8b89 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | mMTC | 3 | 000002 | traffic light orchestration | smart_city | Urban Innovation District | 200 | 99.9 | 5 | 5 | 100,000 | create |
276452d1f87c | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | eMBB | 1 | 000001 | UAV swarm coordination | defense | Military Base Perimeter | 20 | 99.9 | 1,000 | 200 | 50,000 | create |
be072ee4a332 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | eMBB | 1 | 000001 | cold storage monitoring | retail | Retail Distribution Hub | 30 | 99 | 200 | 200 | 5,000 | create |
e7d74a2ec151 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | MPS | 5 | 000004 | offshore platform monitoring | maritime | Medical Center District | 1 | 99.999 | 100 | 75 | 100 | create |
db17aee925e6 | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | mMTC | 3 | 000003 | stadium multi-angle replay | media | Industrial Zone North | 1,000 | 99 | 25 | 0.5 | 1,000 | create |
2e5d4ed42133 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | MPS | 5 | 000004 | immersive VR concert streaming | media | Hospital Campus | 5 | 99.9999 | 150 | 50 | 1,000 | create |
5896cc44c58c | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | MPS | 5 | 000003 | baggage tracking RFID | aviation | Airport Terminal Area | 30 | 99.999 | 150 | 100 | 5,000 | create |
c78e6c43d21f | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | V2X | 4 | 000002 | smart grid protection relay | energy | Industrial Zone North | 20 | 99.99 | 200 | 50 | 50 | create |
50731a9d201a | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | V2X | 4 | 000001 | environmental compliance sensing | mining | Factory Complex A | 5 | 99.999 | 300 | 50 | 5,000 | create |
3f8c4eaa61e2 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | V2X | 4 | 000001 | crane remote operation | construction | Medical Center District | 1 | 99.99 | 100 | 50 | 500 | create |
fcd78409f7a8 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | URLLC | 2 | 000003 | autonomous harvester coordination | agriculture | Agricultural Zone Delta | 7 | 99.9999 | 200 | 75 | 1,000 | create |
b50d4418ce99 | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | URLLC | 2 | 000001 | ore transport automation | mining | Open Pit Zone | 2 | 99.999 | 100 | 25 | 1,000 | create |
c4a16cb8f7e9 | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | mMTC | 3 | 000002 | police body camera streaming | public_safety | Disaster Response Area | 1,000 | 99 | 5 | 0.5 | 1,000,000 | create |
494b650595fe | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | URLLC | 2 | 000001 | precision agriculture sensing | agriculture | Medical Center District | 0.5 | 99.9999 | 100 | 50 | 10 | create |
e535a822df9c | [
{
"role": "system",
"content": "You are a TMF921-compliant Intent Lifecycle Manager. Given a resume request, output the TMF921 Intent PATCH operation JSON that transitions the intent from Suspended back to Active state."
},
{
"role": "user",
"content": "Bring intent 'mMTC Slice - Uav Swarm Coord... | tmf921_lifecycle_resume | mMTC | 3 | 000003 | UAV swarm coordination | defense | Factory Complex A | 50 | 99 | 0.5 | 10 | 1,000,000 | resume |
b16c9ac25589 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | HMTC | 5 | 000002 | industrial robot coordination | manufacturing | Hospital Campus | 0.5 | 99.99999 | 200 | 50 | 100 | create |
b222f2b037c0 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | mMTC | 3 | 000002 | student collaboration platform | education | Healthcare Park | 200 | 95 | 25 | 10 | 1,000,000 | create |
f5fc47b50956 | [
{
"role": "system",
"content": "You are a TMF921-compliant Intent Lifecycle Manager. Given a suspension request, output the TMF921 Intent PATCH operation JSON that transitions the intent to Suspended state."
},
{
"role": "user",
"content": "Put intent 'V2X Slice - Crusher Plant Remote Control' o... | tmf921_lifecycle_suspend | V2X | 4 | 000001 | crusher plant remote control | mining | Mining Site Alpha | 3 | 99.9999 | 150 | 150 | 10,000 | suspend |
574a673bc8af | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | mMTC | 3 | 000002 | BIM model synchronization | construction | Construction Site Gamma | 500 | 90 | 10 | 0.1 | 100,000 | create |
b3861fd084ca | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | eMBB | 1 | 000002 | social media live stream | media | Convention Center | 20 | 99.9 | 200 | 100 | 100 | create |
db0336fbe991 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | eMBB | 1 | 000003 | search and rescue communications | public_safety | Industrial Zone North | 50 | 99.99 | 200 | 75 | 1,000 | create |
7466e2dbdc63 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | eMBB | 1 | 000003 | aircraft maintenance IoT | aviation | Runway Complex | 50 | 99.99 | 200 | 25 | 50,000 | create |
a5b369c2ee0f | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | mMTC | 3 | 000003 | logistics convoy tracking | defense | Naval Port Zone | 1,000 | 99.9 | 10 | 5 | 1,000 | create |
1e160d173f5a | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | MPS | 5 | 000003 | livestock tracking network | agriculture | Industrial Zone North | 30 | 99.9999 | 75 | 25 | 500 | create |
e138d33b7746 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | eMBB | 1 | 000001 | fleet management telemetry | automotive | Industrial Zone North | 100 | 99.95 | 100 | 150 | 50,000 | create |
88dbfd8fe5a6 | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | eMBB | 1 | 000002 | drone detection and mitigation | aviation | Hospital Campus | 80 | 99 | 300 | 100 | 1,000 | create |
13255a3502cf | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | eMBB | 1 | 000003 | site drone surveying | construction | Infrastructure Corridor | 20 | 99 | 300 | 75 | 5,000 | create |
cfe0c4c9ab28 | [
{
"role": "system",
"content": "You are a TMF921-compliant Intent Assurance system. Given a monitoring request, output a TMF921 Intent fulfillment report JSON with current KPI measurements, target compliance status, and fulfillmentInfo."
},
{
"role": "user",
"content": "Provide an assurance repo... | tmf921_lifecycle_monitor | mMTC | 3 | 000002 | port container tracking | maritime | Healthcare Park | 30 | 99.9 | 5 | 10 | 50,000 | monitor |
a405027bbc90 | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | URLLC | 2 | 000003 | core network slice lifecycle | telecom | Healthcare Park | 10 | 99.999 | 150 | 100 | 20 | create |
8bcf40b67598 | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | V2X | 4 | 000002 | BIM model synchronization | construction | Industrial Zone North | 5 | 99.9999 | 300 | 10 | 10,000 | create |
9533a958eee8 | [
{
"role": "system",
"content": "You are a 5G O1 interface configuration manager compliant with 3GPP TS 28.541 NR Network Resource Model. Given a natural language request, output a valid O1 NRM configuration JSON with ManagedElement, GNBDUFunction, NRCellDU (including cellLocalId, arfcnDL, bSChannelBwDL), an... | o1_nrm | mMTC | 3 | 000002 | cloud gaming edge delivery | media | Convention Center | 200 | 99.5 | 5 | 1 | 1,000 | create |
b6aa3109f6fa | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | URLLC | 2 | 000001 | public transport real-time info | smart_city | Industrial Zone North | 5 | 99.999 | 200 | 10 | 100 | create |
e00d083d6d42 | [
{
"role": "system",
"content": "You are a 5G O1 interface configuration manager compliant with 3GPP TS 28.541 NR Network Resource Model. Given a natural language request, output a valid O1 NRM configuration JSON with ManagedElement, GNBDUFunction, NRCellDU (including cellLocalId, arfcnDL, bSChannelBwDL), an... | o1_nrm | URLLC | 2 | 000002 | autonomous vehicle platooning | automotive | Highway Corridor M1 | 5 | 99.999 | 20 | 50 | 10 | create |
0d5d5ba9ebb0 | [
{
"role": "system",
"content": "You are a 5G O1 interface configuration manager compliant with 3GPP TS 28.541 NR Network Resource Model. Given a natural language request, output a valid O1 NRM configuration JSON with ManagedElement, GNBDUFunction, NRCellDU (including cellLocalId, arfcnDL, bSChannelBwDL), an... | o1_nrm | URLLC | 2 | 000003 | digital twin synchronization | manufacturing | Industrial Zone North | 3 | 99.999 | 150 | 150 | 500 | create |
cbe71d99959e | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | eMBB | 1 | 000002 | irrigation IoT control | agriculture | Industrial Zone North | 30 | 99.95 | 500 | 100 | 100 | create |
97eb24e800fb | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | V2X | 4 | 000002 | secure interbank communication | finance | Industrial Zone North | 1 | 99.9999 | 25 | 25 | 1,000 | create |
d7e0b91f38ec | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | mMTC | 3 | 000003 | spectrum sharing coordination | telecom | Healthcare Park | 100 | 95 | 5 | 10 | 1,000 | create |
2a3ba591c3d4 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | URLLC | 2 | 000001 | logistics convoy tracking | defense | Healthcare Park | 1 | 99.999 | 200 | 75 | 500 | create |
8b516a3d0736 | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | MPS | 5 | 000003 | street lighting control | smart_city | Urban Innovation District | 30 | 99.9999 | 50 | 100 | 1,000 | create |
1f7af60ac826 | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | mMTC | 3 | 000003 | traffic light orchestration | smart_city | Downtown Core | 500 | 99.9 | 50 | 25 | 500,000 | create |
ad5c64a4eb12 | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | mMTC | 3 | 000002 | fleet route optimization | logistics | Healthcare Park | 30 | 99.5 | 50 | 0.5 | 5,000 | create |
9527507f5ab0 | [
{
"role": "system",
"content": "You are a TMF921-compliant Intent Assurance system. Given a monitoring request, output a TMF921 Intent fulfillment report JSON with current KPI measurements, target compliance status, and fulfillmentInfo."
},
{
"role": "user",
"content": "Provide an assurance repo... | tmf921_lifecycle_monitor | URLLC | 2 | 000003 | first responder PTT network | public_safety | Hospital Campus | 3 | 99.999 | 20 | 25 | 50 | monitor |
edadbf9080ce | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | eMBB | 1 | 000003 | baggage tracking RFID | aviation | Hospital Campus | 20 | 99.9 | 1,000 | 150 | 50,000 | create |
3fa7e9ff8c0b | [
{
"role": "system",
"content": "You are a TMF921-compliant Intent Lifecycle Manager. Given a resume request, output the TMF921 Intent PATCH operation JSON that transitions the intent from Suspended back to Active state."
},
{
"role": "user",
"content": "Reactivate intent intent-8f4717f1aa93 from... | tmf921_lifecycle_resume | mMTC | 3 | 000003 | campus IoT management | education | Industrial Zone North | 500 | 99.9 | 5 | 0.5 | 1,000,000 | resume |
d1f67dcab948 | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | URLLC | 2 | 000001 | AGV fleet management | manufacturing | Industrial Zone North | 5 | 99.9999 | 50 | 100 | 50 | create |
8952512ce353 | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | eMBB | 1 | 000002 | terminal crowd management | aviation | Factory Complex A | 30 | 99.95 | 500 | 100 | 1,000 | create |
c974c9aef76e | [
{
"role": "system",
"content": "You are an O-RAN Non-RT RIC policy engine compliant with O-RAN WG2 A1 interface specification. Given a natural language description of a RAN policy requirement, output a valid A1 Policy JSON object with policyId, policyTypeId, scope (ueId, groupId, cellId), qosObjectives (gfb... | a1_policy | HMTC | 5 | 000002 | cold storage monitoring | retail | Industrial Zone North | 2 | 99.9999 | 1,000 | 200 | 500 | create |
f64f40661d56 | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | eMBB | 1 | 000002 | SON self-optimization | telecom | Cell Site Cluster | 20 | 99 | 200 | 25 | 100 | create |
2f86ab61ca57 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | URLLC | 2 | 000003 | distributed generation coordination | energy | Healthcare Park | 10 | 99.9999 | 300 | 50 | 5,000 | create |
b02462cc89c7 | [
{
"role": "system",
"content": "You are a 5G/6G network orchestrator integrated with the CAMARA NetworkSliceBooking API. Given a natural language network intent, output a valid CAMARA NetworkSliceBooking JSON object with sliceType, sliceProfile (including latencyTarget, reliability, throughput with downlink... | camara | eMBB | 1 | 000002 | structural health monitoring | construction | Construction Site Gamma | 100 | 99.9 | 300 | 75 | 100 | create |
643a0340531c | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | mMTC | 3 | 000002 | AR news production overlay | media | Hospital Campus | 500 | 90 | 0.5 | 0.5 | 1,000,000 | create |
0bd3f2b66f05 | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | URLLC | 2 | 000002 | urban noise monitoring | smart_city | Factory Complex A | 10 | 99.9999 | 300 | 100 | 100 | create |
07b5a62908d3 | [
{
"role": "system",
"content": "You are a TM Forum TMF921-compliant Intent Management system. Given a natural language network intent, output a valid TMF921 Intent Management API v4 JSON object. The response must include the full Intent resource with id, href, name, description, lifecycleState, priority, in... | tmf921 | URLLC | 2 | 000001 | autonomous ship navigation | maritime | Healthcare Park | 3 | 99.999 | 150 | 10 | 500 | create |
1cf082bfb61b | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | URLLC | 2 | 000003 | port container tracking | maritime | Industrial Zone North | 1 | 99.999 | 150 | 50 | 1,000 | create |
3933780f7a3b | [
{
"role": "system",
"content": "You are an ETSI ZSM (Zero-touch Service Management) compliant intent handler following ETSI GS ZSM 009-1. Given a natural language network intent, output a valid ETSI ZSM Intent JSON object with intentId, intentType, intentOwner, intentExpression containing objectives with KP... | etsi_zsm | V2X | 4 | 000002 | demand response signaling | energy | Industrial Zone North | 20 | 99.99 | 150 | 75 | 5,000 | create |
0e6adcb676bd | [
{
"role": "system",
"content": "You are a 5G O1 interface configuration manager compliant with 3GPP TS 28.541 NR Network Resource Model. Given a natural language request, output a valid O1 NRM configuration JSON with ManagedElement, GNBDUFunction, NRCellDU (including cellLocalId, arfcnDL, bSChannelBwDL), an... | o1_nrm | MPS | 5 | 000004 | precision agriculture sensing | agriculture | Hospital Campus | 30 | 99.9999 | 200 | 50 | 100 | create |
95aed5a0e833 | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | eMBB | 1 | 000002 | RAN energy saving automation | telecom | Hospital Campus | 30 | 99.9 | 500 | 50 | 100 | create |
604d47b1112c | [
{
"role": "system",
"content": "You are a 3GPP Intent-Driven Management system compliant with TS 28.312 v18.8.0. Given a natural language network intent, output a valid 3GPP intent JSON object with intentExpectation containing expectationId, expectationVerb, expectationObject (with objectType and objectInst... | intent_3gpp | mMTC | 3 | 000002 | mobile payment processing | finance | Industrial Zone North | 50 | 95 | 0.5 | 0.1 | 50,000 | create |
TMF921-Grounded Intent-to-Network-Configuration Dataset (25K)
The most comprehensive open dataset for training LLMs to translate natural language network intents into spec-compliant 5G/6G configurations.
25,000 samples (22,500 train / 2,500 test) of natural language intents paired with structured network configurations across 6 target specification layers and 8 lifecycle operations, all grounded in real telecom standards.
What Makes This Dataset Unique
| Feature | This Dataset | Prior Art (TelecomIntentBench) |
|---|---|---|
| TMF921 Intent Management API | 6,250 samples (25%) | Not included |
| ETSI ZSM 009-1 Intents | 2,500 samples (10%) | Not included |
| Intent Lifecycle Operations | 1,750 multi-turn samples (7%) | Single-turn only |
| Total Specification Layers | 6 layers | 4 layers |
| Total Samples | 25,000 | 10,000 |
| Slice Types | 6 (incl. HMTC/6G) | 5 |
| Industry Sectors | 18 | ~10 |
| Unique Use Cases | 144 | ~50 |
| Geographic Regions | 54 with real coordinates | ~20 |
| Lifecycle Operations | 8 types | None |
| JSON Schema Compliance | 100% (validated) | 100% |
Motivation and Background
The Problem
Intent-Based Networking (IBN), as defined by IETF RFC 9315, promises autonomous network management where operators express high-level goals and the network fulfills them. For 5G/6G, this means translating a request like "provision a URLLC slice with sub-1ms latency for remote surgery" into structured configurations that the network can execute.
Recent work shows frontier LLMs can do this well. ORION (arXiv:2603.03667) demonstrated that GPT-5 and Claude Opus 4.5 achieve 100% policy generation success on 100 intents using CAMARA schema grounding. But smaller open-weight models fail without domain-specific fine-tuning.
The Gap
No open training dataset existed grounded in TMF921 -- the TM Forum's de facto industry standard for intent management in production OSS/BSS systems. Prior datasets were either evaluation-only (TeleQnA, GSMA OT), single-specification (TelecomIntentBench: 4 layers, no TMF921, no ETSI ZSM, no lifecycle), or proprietary.
This Dataset Fills the Gap
We provide the first open dataset with: (1) full TMF921 v4 API-compliant intent objects, (2) ETSI ZSM 009-1 cross-domain intents, (3) lifecycle operations covering the full TMF921 state machine, and (4) all grounded in normative 3GPP, TM Forum, ETSI, O-RAN, and CAMARA specifications.
Specification Grounding
Every configuration JSON conforms to its target specification's data model.
Primary Target Layers
| Target Layer | Specification | Version | % of Dataset | Description |
|---|---|---|---|---|
tmf921 |
TM Forum TMF921 Intent Management API | v4.0 | 25% | Full REST resource with @type, HATEOAS links, relatedParty, contexts |
intent_3gpp |
3GPP TS 28.312 Intent-Driven Management | v18.8.0 | 18% | Normative intent model with intentExpectation, S-NSSAI encoding |
camara |
CAMARA NetworkSliceBooking API | 2024 | 17% | GSMA Open Gateway with sliceProfile, areaOfService, duration |
a1_policy |
O-RAN WG2 A1 Policy Framework | v04.00 | 13% | RAN policy with 5QI mapping, PRB quotas, scheduler weights |
o1_nrm |
3GPP TS 28.541 NR Network Resource Model | v18.7.0 | 10% | O1 config: ManagedElement > GNBDUFunction > NRCellDU |
etsi_zsm |
ETSI GS ZSM 009-1 Zero-touch Service Mgmt | v1.1.1 | 10% | Cross-domain intents with fulfillment strategies |
tmf921_lifecycle_* |
TMF921 Lifecycle Operations | v4.0 | 7% | 8 operations: activate, monitor, modify, suspend, resume, terminate, report, scale |
Additional Normative References
| Specification | What It Governs |
|---|---|
| 3GPP TS 23.501 | S-NSSAI encoding (SST+SD), 5QI/QCI values |
| 3GPP TS 22.261 | 5G service requirements, eMBB/URLLC KPI targets |
| 3GPP TS 22.104 | Industrial IoT KPI requirements |
| 3GPP TS 22.186 | V2X communication requirements |
| 3GPP TS 38.104 | NR frequency bands and ARFCN ranges |
| IETF RFC 9315 | IBN concepts and definitions |
Concept Mapping Across Specifications
| Concept | TMF921 | 3GPP TS 28.312 | ETSI ZSM |
|---|---|---|---|
| Top-level goal | Intent |
Intent |
zsmIntent |
| Goal expression | IntentExpression |
IntentExpectation |
objectives |
| KPI condition | ExpectationTarget |
targetCondition |
kpiTargets |
| Target resource | ExpectationObject |
objectInstance |
constraints |
| Spatial scope | GeographicContext |
expectationContext |
spatial |
| Temporal scope | TemporalContext |
expectationContext |
temporal |
| Lifecycle owner | relatedParty (IntentOwner) |
RMIO | intentOwner |
| State machine | lifecycleState |
lifecycleStatus |
intentState |
Dataset Schema
Columns
| Column | Type | Description | Example |
|---|---|---|---|
id |
string | Unique content hash (12 chars) | "a1b2c3d4e5f6" |
messages |
list[dict] | ChatML: system + user + assistant | See below |
target_layer |
string | Target specification | "tmf921", "tmf921_lifecycle_monitor" |
slice_type |
string | 3GPP slice type | "eMBB", "URLLC", "mMTC", "V2X", "MPS", "HMTC" |
sst |
int | Slice/Service Type | 1-6 per TS 23.501 |
sd |
string | Slice Differentiator | "000001" |
use_case |
string | Application use case | "remote robotic surgery" |
sector |
string | Industry sector | "healthcare" |
region |
string | Deployment region | "Hospital Campus" |
latency_ms |
float | E2E latency target (ms) | 1.0 |
reliability_pct |
float | Reliability target (%) | 99.9999 |
dl_throughput_mbps |
float | DL throughput (Mbps) | 100.0 |
ul_throughput_mbps |
float | UL throughput (Mbps) | 50.0 |
max_ues |
int | Max connected devices | 50 |
lifecycle_operation |
string | Operation type | "create", "monitor", "scale" |
Message Format
Every sample has exactly 3 messages. The system prompt is layer-specific. The user message is the NL intent. The assistant message is always a valid, parseable JSON conforming to the target specification.
Target Layer JSON Examples
1. TMF921 Intent Management API v4
{
"id": "intent-a1b2c3d4e5f6",
"href": "/tmf-api/intentManagement/v4/intent/intent-a1b2c3d4e5f6",
"name": "URLLC Slice - Remote Robotic Surgery",
"description": "Intent for remote robotic surgery at Hospital Campus with URLLC service level",
"lifecycleState": "Active",
"priority": 1,
"intentExpression": {
"@type": "IntentExpression",
"intentExpectation": [{
"@type": "DeliveryExpectation",
"id": "exp-f1e2d3c4b5a6",
"name": "URLLC QoS Delivery Expectation",
"expectationVerb": "DELIVER",
"expectationObject": {
"@type": "ExpectationObject",
"objectType": "NetworkSlice",
"objectInstance": "slice-urllc-abc123",
"objectContexts": [
{"contextAttribute": "sliceServiceType", "contextCondition": "IS_EQUAL_TO", "contextValueRange": "URLLC"},
{"contextAttribute": "sNSSAI", "contextCondition": "IS_EQUAL_TO", "contextValueRange": {"sst": 2, "sd": "000001"}}
]
},
"expectationTargets": [
{"@type": "ExpectationTarget", "targetName": "downlinkThroughput", "targetCondition": "IS_GREATER_THAN_OR_EQUAL_TO", "targetValueRange": 100, "targetMetric": "PLMNID.dl.ThpVol.NRCellDU", "unit": "Mbps"},
{"@type": "ExpectationTarget", "targetName": "latency", "targetCondition": "IS_LESS_THAN_OR_EQUAL_TO", "targetValueRange": 1, "targetMetric": "PLMNID.e2e.Latency", "unit": "ms"},
{"@type": "ExpectationTarget", "targetName": "reliability", "targetCondition": "IS_GREATER_THAN_OR_EQUAL_TO", "targetValueRange": 99.9999, "unit": "percent"},
{"@type": "ExpectationTarget", "targetName": "maxNumberOfUEs", "targetCondition": "IS_LESS_THAN_OR_EQUAL_TO", "targetValueRange": 50, "unit": "UEs"}
],
"expectationContexts": [
{"@type": "GeographicContext", "contextAttribute": "serviceArea", "contextCondition": "IS_IN", "contextValueRange": {"name": "Hospital Campus", "areaType": "Circle", "center": {"latitude": 40.6301, "longitude": 22.9521}, "radius": 500, "radiusUnit": "meters"}},
{"@type": "TemporalContext", "contextAttribute": "validityPeriod", "contextCondition": "IS_WITHIN", "contextValueRange": {"startDateTime": "2025-03-14T08:00:00Z", "endDateTime": "2025-03-14T20:00:00Z"}}
]
}]
},
"relatedParty": [{"id": "party-abc123", "role": "IntentOwner", "name": "Healthcare Operations", "@type": "RelatedParty", "@referredType": "Organization"}],
"fulfillmentInfo": {"fulfillmentStatus": "InProgress", "fulfillmentDate": "2025-03-14T08:00:00Z"},
"@type": "Intent",
"@baseType": "Entity",
"@schemaLocation": "/tmf-api/intentManagement/v4/schema/Intent.schema.json"
}
2. 3GPP TS 28.312 Intent
{
"intent": {
"id": "intent-URLLC-a1b2c3d4e5f6",
"name": "Remote Robotic Surgery URLLC Intent",
"lifecycleStatus": "active",
"intentExpectation": [{
"expectationId": "exp-f1e2d3c4b5a6",
"expectationVerb": "DELIVER",
"expectationObject": {"objectType": "NW_SLICE", "objectInstance": {"sliceType": "URLLC", "sNSSAI": {"sst": 2, "sd": "000001"}}},
"expectationTargets": [
{"targetName": "downlinkThroughput", "targetCondition": "IS_GREATER_THAN", "targetValueRange": 100, "unit": "Mbps"},
{"targetName": "latency", "targetCondition": "IS_LESS_THAN", "targetValueRange": 1, "unit": "ms"},
{"targetName": "reliability", "targetCondition": "IS_GREATER_THAN", "targetValueRange": 99.9999, "unit": "percent"},
{"targetName": "maxNumberOfUEs", "targetCondition": "IS_LESS_THAN_OR_EQUAL_TO", "targetValueRange": 50, "unit": "UEs"}
],
"expectationContexts": [
{"contextAttribute": "serviceArea", "contextCondition": "IS_IN", "contextValueRange": "Hospital Campus"},
{"contextAttribute": "useCase", "contextCondition": "IS_EQUAL_TO", "contextValueRange": "remote robotic surgery"}
]
}],
"intentContext": [{"contextAttribute": "lifecycle", "contextCondition": "IS_IN", "contextValueRange": ["active", "suspended"]}],
"intentPriority": 1
}
}
3. CAMARA NetworkSliceBooking
{
"networkSliceBooking": {
"sliceType": "URLLC",
"sliceProfile": {"latencyTarget": 1, "reliability": 99.9999, "throughput": {"downlink": 100, "uplink": 50}, "maxNumberOfUEs": 50},
"areaOfService": {"region": "Hospital Campus", "center": {"latitude": 40.6301, "longitude": 22.9521}, "radius": 500, "cells": ["cell-020", "cell-021"]},
"duration": {"startTime": "2025-03-14T08:00:00Z", "endTime": "2025-03-14T20:00:00Z"},
"notificationUrl": "https://callback.example.com/slice-events/abc123"
}
}
4. O-RAN WG2 A1 Policy
{
"a1Policy": {
"policyId": "a1-pol-urllc-abc123",
"policyTypeId": "QoSTarget",
"scope": {"ueId": null, "groupId": "slice-urllc-abc123", "cellId": "cell-020", "sNSSAI": {"sst": 2, "sd": "000001"}},
"qosObjectives": {"gfbr": 100, "mfbr": 120, "priorityLevel": 1, "5qi": 82, "pdb": 1, "per": 1e-06},
"resourceAllocation": {"prbQuota": {"min": 30, "max": 60}, "schedulerWeight": 0.65, "maxUEs": 50},
"enforcementAction": "APPLY",
"enforcementScope": "RAN_SLICE"
}
}
5. 3GPP TS 28.541 O1 NRM Configuration
{
"ManagedElement": {
"id": "gNB-003",
"GNBDUFunction": {
"id": "DU-003", "gNBId": 3, "gNBIdLength": 22,
"NRCellDU": {
"id": "NRCellDU-003-001", "cellLocalId": 1,
"operationalState": "ENABLED", "administrativeState": "UNLOCKED",
"nrFrequencyRef": "NRFrequency=n78", "arfcnDL": 632628, "bSChannelBwDL": 100,
"nrPCI": 415, "nrTAC": 12345,
"rrmPolicyMemberList": [{"snssai": {"sst": 2, "sd": "000001"}, "rrmPolicyMinRatio": 0.30, "rrmPolicyMaxRatio": 0.65, "rrmPolicyDedicatedRatio": 0.48}],
"pLMNInfoList": [{"mcc": "234", "mnc": "15", "sNSSAIList": [{"sst": 2, "sd": "000001"}]}]
}
}
}
}
6. ETSI ZSM 009-1 Intent
{
"zsmIntent": {
"intentId": "zsm-intent-a1b2c3d4e5f6",
"intentType": "NetworkSliceIntent",
"intentOwner": {"ownerId": "owner-abc123", "ownerType": "ManagementFunction", "ownerDomain": "healthcare_management"},
"intentExpression": {
"objectives": [{"objectiveId": "obj-abc123", "objectiveType": "QoSObjective", "kpiTargets": [
{"kpi": "endToEndLatency", "operator": "lessThanOrEqual", "value": 1, "unit": "ms"},
{"kpi": "serviceReliability", "operator": "greaterThanOrEqual", "value": 99.9999, "unit": "percent"},
{"kpi": "dlThroughput", "operator": "greaterThanOrEqual", "value": 100, "unit": "Mbps"}
]}],
"constraints": [{"constraintType": "ResourceConstraint", "parameter": "sliceServiceType", "value": "URLLC"}],
"context": {
"temporal": {"startTime": "2025-03-14T08:00:00Z", "endTime": "2025-03-14T20:00:00Z"},
"spatial": {"areaName": "Hospital Campus", "coordinates": {"latitude": 40.6301, "longitude": 22.9521}, "radius": 500, "radiusUnit": "meters"},
"administrative": {"tenantId": "tenant-abc123", "serviceDomain": "healthcare", "useCase": "remote robotic surgery"}
}
},
"fulfillmentRequirements": {"fulfillmentStrategy": "Guaranteed", "escalationPolicy": "AutoRemediate", "assuranceInterval": 60, "assuranceIntervalUnit": "seconds"},
"managementDomainMapping": {"domains": ["RAN", "Transport", "Core"], "orchestrationLevel": "EndToEnd"}
}
}
7. TMF921 Lifecycle Operation (monitor example)
{
"intentFulfillmentReport": {
"intentId": "intent-a1b2c3d4e5f6",
"reportTimestamp": "2025-03-14T12:00:00Z",
"fulfillmentStatus": "Fulfilled",
"kpiMeasurements": [
{"kpi": "latency", "target": 1, "measured": 0.85, "unit": "ms", "compliant": true},
{"kpi": "dlThroughput", "target": 100, "measured": 112.5, "unit": "Mbps", "compliant": true},
{"kpi": "reliability", "target": 99.9999, "measured": 99.99992, "unit": "percent", "compliant": true}
],
"overallSlaCompliance": true,
"@type": "IntentFulfillmentReport"
}
}
Dataset Statistics and Quality Validation
Distribution
Target Layer Distribution:
| Layer | Train | Test | Total | % |
|---|---|---|---|---|
| tmf921 | 5,608 | 642 | 6,250 | 25.0% |
| intent_3gpp | 4,059 | 441 | 4,500 | 18.0% |
| camara | 3,848 | 402 | 4,250 | 17.0% |
| a1_policy | 2,939 | 311 | 3,250 | 13.0% |
| etsi_zsm | 2,213 | 287 | 2,500 | 10.0% |
| o1_nrm | 2,256 | 244 | 2,500 | 10.0% |
| tmf921_lifecycle_* | 1,577 | 173 | 1,750 | 7.0% |
Slice Type Distribution:
| Slice Type | Count | % | SST | KPI Spec Source |
|---|---|---|---|---|
| eMBB | 6,248 | 25.0% | 1 | TS 22.261 |
| URLLC | 6,258 | 25.0% | 2 | TS 22.261, TS 22.104 |
| mMTC | 5,083 | 20.3% | 3 | TS 22.261 |
| V2X | 2,969 | 11.9% | 4 | TS 22.186 |
| MPS | 2,472 | 9.9% | 5 | TS 23.501 (SST=5, distinct SD) |
| HMTC | 1,970 | 7.9% | 5 | TS 23.501 (Rel-17) |
KPI Ranges (from 3GPP specs):
| Slice | Latency (ms) | Reliability (%) | DL (Mbps) | Max UEs |
|---|---|---|---|---|
| eMBB | 10-100 | 99.0-99.99 | 50-1,000 | 50-50K |
| URLLC | 0.5-10 | 99.999-99.9999 | 10-500 | 5-5K |
| mMTC | 10-1,000 | 90.0-99.99 | 0.1-50 | 1K-1M |
| V2X | 1-20 | 99.99-99.9999 | 10-300 | 10-10K |
| MPS | 1-30 | 99.999-99.9999 | 10-200 | 5-5K |
| HMTC (SST=5) | 0.1-5 | 99.9999-99.99999 | 100-2,000 | 100-100K |
18 Industry Sectors: Healthcare, Manufacturing, Automotive, Energy, Public Safety, Media, Agriculture, Logistics, Smart City, Mining, Defense, Education, Finance, Aviation, Maritime, Retail, Construction, Telecom
Quality Validation Results
Every sample was validated by scripts/audit_dataset.py:
| Check | Train | Test | Total |
|---|---|---|---|
| JSON validity | 100.0% | 100.0% | 100.0% |
| Schema compliance (per layer) | 100.0% | 100.0% | 100.0% |
| Metadata-config consistency | 100.0% | 100.0% | 100.0% |
| KPI within spec profile | 100.0% | 100.0% | 100.0% |
| Unique IDs | 100.0% | 100.0% | 100.0% |
| Unique NL messages | 99.9% | 100.0% | 99.9% |
NL Diversity: Avg message length 216 chars. 1,678 unique 6-word openings. No single opening exceeds 3.1%.
Quick Start
from datasets import load_dataset
ds = load_dataset("nraptisss/TMF921-intent-to-config-25k")
# Filter by layer
tmf921 = ds["train"].filter(lambda x: x["target_layer"] == "tmf921")
# Filter by slice type + sector
urllc_health = ds["train"].filter(lambda x: x["slice_type"] == "URLLC" and x["sector"] == "healthcare")
# Inspect a sample
import json
s = ds["train"][0]
print(s["messages"][1]["content"]) # NL intent
config = json.loads(s["messages"][2]["content"]) # parsed config
Training Recipes
QLoRA SFT (Recommended)
from trl import SFTTrainer, SFTConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import LoraConfig
from datasets import load_dataset
ds = load_dataset("nraptisss/TMF921-intent-to-config-25k")
model_id = "Qwen/Qwen2.5-7B-Instruct"
peft_config = LoraConfig(r=16, lora_alpha=32,
target_modules=["q_proj","k_proj","v_proj","o_proj","up_proj","down_proj"],
lora_dropout=0.05, task_type="CAUSAL_LM")
trainer = SFTTrainer(
model=model_id,
train_dataset=ds["train"], eval_dataset=ds["test"],
peft_config=peft_config,
args=SFTConfig(
output_dir="./tmf921-model", num_train_epochs=3,
per_device_train_batch_size=4, gradient_accumulation_steps=4,
learning_rate=2e-5, lr_scheduler_type="cosine", warmup_ratio=0.1,
gradient_checkpointing=True, bf16=True, logging_steps=10,
eval_strategy="epoch", save_strategy="epoch",
push_to_hub=True, hub_model_id="your-user/tmf921-model"))
trainer.train()
Layer-Specialist and Curriculum Strategies
Train separate models per layer, or use curriculum learning: Stage 1 CAMARA (simplest) -> Stage 2 3GPP+A1 -> Stage 3 TMF921+ZSM+O1 (most complex) -> Stage 4 Lifecycle.
Evaluation Protocol
| Metric | Description |
|---|---|
| JSON Validity Rate | % of outputs that parse as valid JSON |
| Schema Compliance | % with all required fields per target layer |
| KPI Accuracy (MSE) | Extracted KPI values vs ground truth metadata |
| Slice Type Accuracy | Correct eMBB/URLLC/mMTC/V2X/MPS/HMTC |
| Layer Routing Accuracy | Correct specification format for the system prompt |
| Lifecycle State Machine | Valid state transitions per TMF921 |
Generation Methodology
Design Principles
- Specification grounding -- every JSON conforms to its target spec
- Multi-layer coverage -- full TMF921 > 3GPP > CAMARA > A1 > O1 NRM stack
- KPI realism -- values from TS 22.261, TS 22.104, TS 22.186 profiles
- Lifecycle completeness -- TMF921/3GPP state machine: Create > Inactive > Active <> Suspended > Terminated
Why Template-Based (not LLM-generated)
| Template-Based (ours) | LLM-Based (e.g., RANSTRUCT) | |
|---|---|---|
| Schema compliance | 100% by construction | Risk of hallucinated fields |
| Reproducibility | Deterministic (seed=42) | Non-deterministic |
| Distribution control | Precise ratios | Uncontrolled |
| NL diversity | Bounded (4-8 templates/type) | Higher |
| Cost | Zero API calls | Requires LLM inference |
Repository Structure
nraptisss/TMF921-intent-to-config-25k/
+-- README.md # This file
+-- data/
| +-- train-00000-of-00001.parquet # 22,500 training samples (60.1 MB)
| +-- test-00000-of-00001.parquet # 2,500 test samples (6.8 MB)
+-- scripts/
| +-- generate_dataset.py # Main generator (1,599 lines)
| | All spec constants, 6 JSON generators, 8 lifecycle generators,
| | NL templates, validation, statistics.
| | Usage: python generate_dataset.py [N_SAMPLES]
| +-- audit_dataset.py # Quality validation (268 lines)
| | JSON validity, schema compliance, KPI sanity, NL diversity,
| | cross-consistency checks.
| | Usage: python audit_dataset.py
| +-- push_to_hub.py # Hub upload (60 lines)
| JSON to HF Dataset conversion, type casting, push.
| Usage: python push_to_hub.py
+-- paper/
+-- paper.tex # IEEE Tran LaTeX source (6 pages)
+-- paper.pdf # Compiled PDF
Reproduction Guide
# Prerequisites
pip install datasets huggingface_hub
# Step 1: Generate (seed=42, deterministic)
python scripts/generate_dataset.py 25000
# Output: train.json, test.json (~30 seconds, no GPU needed)
# Step 2: Validate
python scripts/audit_dataset.py
# Expected: 100% pass on all checks
# Step 3: Upload
huggingface-cli login
python scripts/push_to_hub.py
# Optional: Compile paper
cd paper/ && tectonic paper.tex # or pdflatex paper.tex
Known Limitations and Future Work
| Limitation | Mitigation Path |
|---|---|
| Template-bounded NL diversity (4-8 templates/type) | LLM paraphrasing (NEFMind: 100 paraphrases/seed) |
| Single-turn lifecycle operations | Multi-turn chains: create > activate > monitor > modify > terminate |
| No cross-layer consistency | Same intent mapped to all 6 layers simultaneously |
| No adversarial/ambiguous intents | Under-specified or contradictory intents with error responses |
| No real network validation | Connect to srsRAN or ns-3 for feasibility testing |
| HMTC (SST=6) is speculative | Update when 3GPP standardizes 6G slice types |
Related Work
| Paper | Year | Key Result | Relevance |
|---|---|---|---|
| ORION | 2025 | 100% policy gen with GPT-5 | Shows need for this dataset |
| TelecomGPT | 2024 | 71.2% TeleQnA with 3-stage pipeline | Training methodology |
| ORANSight-2.0 | 2025 | RAG-based spec data generation | Alternative generation approach |
| NEFMind | 2025 | 98-100% API accuracy with QLoRA Phi-2 | Small model + small data works |
| TelecomIntentBench | 2025 | First 10K intent-config dataset | Direct predecessor |
License and Citation
License: Apache 2.0
@dataset{tmf921_intent_config_25k_2025,
title = {TMF921-Grounded Intent-to-Network-Configuration Dataset for 5G/6G},
author = {Raptis, Nikolaos},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/nraptisss/TMF921-intent-to-config-25k},
note = {25,000 NL intent to spec-compliant network configuration pairs
grounded in TMF921, 3GPP TS 28.312, ETSI ZSM 009-1, O-RAN A1,
CAMARA, and 3GPP TS 28.541}
}
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